Statistical Methods for Functional Data

Mon, Aug 4, 2:00 PM - 3:50 PM Room CC-102B Music City Center

Uditha WijesuriyaChair

Section on Statistical Learning and Data Science

7 Presentations

A data-driven way to compute vector summaries of persistence diagrams using functional data analysis

2:05 PM - 2:20 PM

Co-authors: Umar Islambekov, Aleksei Luchinskii, Aleksei Luchinskii

Topology Data Analysis Functional Data Analysis Data-Driven Optimization Classification and Regression Feature Engineering

A Sparse Functional SVD Method for Clustering Functional Data

2:20 PM - 2:35 PM

Co-authors: Yue Zhao, Sandra Safo (University of Minnesota), Yue Zhao, Thierry Chekouo Tekougang (University of Minnesota)

functional data analysis sparse group lasso functional SVD iterative shrinkage-thresholding algorithm

WITHDRAWN Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference

2:35 PM - 2:50 PM

Co-authors: Zhiling Gu (Yale University), Shan Yu (University of Virginia), Guannan Wang (College of William and Mary), Lily Wang (George Mason University)

Biomedical imaging synthesis Functional principal component analysis Simultaneous confidence regions Surface-based imaging data Triangulated spherical splines

WITHDRAWN Change Points Detection for Spherical Functional Autoregressive Processes

2:50 PM - 3:05 PM

Co-authors: Federica Spoto (Harvard University), Alessia Caponera (LUISS Guido Carli), Pierpaolo Brutti (Sapienza Università di Roma)

Change-point detection Spherical random fields Autoregressive processes Functional analysis Lasso

WITHDRAWN Functional Differential Equation Model for Dynamic System

3:05 PM - 3:20 PM

Co-authors: Ruiyan Luo, Xin Qi

differential equation dynamic systems functional differential equation functional universal approximation theorem functional neural networks

Generalized projection-based shape outlier detection in functional data

3:20 PM - 3:35 PM

Co-authors: Hyungjun Lim, Arlene Kim (Korea University), Hyungjun Lim

Functional data analysis Shape outlier Outlier detection Generalized extreme value distribution Functional principal component analysis Reweighting

Multivariate Sparse Functional Data Classification via Bayesian Aggregation

3:35 PM - 3:50 PM

Co-authors: Ahmad Talafha (St.Edward's University), Ahmad Talafha (St.Edward's University)

Multivariate Functional Principal Component Analysis (MFPCA)Sparse Longitudinal Data Functional Principal Component Analysis (FPCA)Bootstrap Aggregating Classification Statistical learning